
Engineering Technical Lead
1 day ago
ResponsibilitiesTechnical Leadership- Lead and mentor a high-performing team of engineers, fostering a collaborative and innovative environment.- Define and enforce technical standards, architecture, and best practices.- Drive end-to-end ownership of technical solutions, ensuring scalability, reliability, and security.- Act as a liaison between technical teams and stakeholders, translating business needs into actionable technical requirements.
AI Development- Design and implement advanced AI models and algorithms to solve complex business challenges.- Integrate AI/ML techniques such as deep learning, NLP, and predictive analytics into scalable applications.- Work closely with data scientists to create robust pipelines for data collection, preprocessing, and analysis.- Explore and prototype emerging AI trends and technologies to maintain a competitive edge.Java Development- Architect, develop, and maintain high-performance Java-based applications.- Leverage advanced Java frameworks and tools, including J2EE, Spring Boot, Hibernate, and Apache Kafka.- Implement RESTful APIs and microservices-based architectures.- Optimize Java applications for performance and reliability in distributed systems.- Deploy and manage applications on cloud platforms (AWS, GCP, Azure), including the use of serverless computing and container orchestration tools like Kubernetes and Docker.
Project Management- Oversee the software development lifecycle, ensuring timely delivery of projects within scope and budget.- Collaborate with cross-functional teams (product managers, designers, QA, DevOps) to ensure seamless execution.- Establish and monitor KPIs for project success and team performance.
Problem Solving & Continuous Improvement**- Identify and resolve technical challenges, applying innovative solutions to complex problems.- Analyze system performance metrics to identify and address potential bottlenecks proactively.- Stay updated on advancements in AI, Java, and software engineering, and incorporate relevant innovations into the development process.QualificationsRequired Skills- Bachelor’s or Master’s degree in Computer Science, Engineering, or related fields.- 8+ years of software development experience with an emphasis on **core Java technologies**.- Proven experience leading technical teams and delivering complex, scalable solutions.- Expertise in **object-oriented programming**, **concurrency**, and **design patterns**.- Hands-on experience with AI/ML frameworks (TensorFlow, PyTorch, scikit-learn) and techniques (supervised/unsupervised learning, reinforcement learning).- Strong knowledge of **cloud computing platforms** (AWS, GCP, Azure) and modern deployment strategies.- Experience with containerization technologies (Docker, Kubernetes) and serverless architecture.- Exceptional problem-solving, analytical, and communication skills.
Preferred Skills- Experience with **DevOps practices** (CI/CD pipelines, Infrastructure as Code) and tools like Jenkins, GitLab, and Terraform.- Familiarity with **big data ecosystems** (Hadoop, Spark, or similar).- Prior contributions to open-source projects or technical publications.- Experience with frontend technologies to support full-stack capabilities (e.g., Angular, React).- Understanding of data governance, security, and compliance in AI solutions.What We Offer- Opportunity to work on cutting-edge technologies shaping the future of AI.- A collaborative and inclusive work environment that values innovation and continuous learning.- Competitive compensation and benefits.- Access to state-of-the-art tools and platforms for development and experimentation.
If you thrive on challenges, have a passion for AI and Java, and are excited to lead a talented team to deliver impactful solutions, we’d love to hear from you. Apply now
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